On Thursday 6 September 2018 at the annual BioProcess International Conference in Boston, the first “Technology Round Robin Featuring Six Innovative Bioprocess Technologies†was presented in an interactive session with attendees as active participants, asking questions and engaging in conversation with the six featured entrepreneurs. Detailed below, this session was a culmination of several steps in an overall strategy for some of the companies participating. To fully appreciate the launch of new technologies into the bioprocess arena, you first must…
Process Monitoring and Controls
Development and Application of a Simple and One-Point Multiparameter Technique: Monitoring Commercial-Scale Chromatography Process Performance
In commercial-scale biopharmaceutical manufacturing, downstream chromatography steps are still a bottleneck and contribute to significant operational costs (1, 2). Some of those costs are inherent (e.g., resins, large buffer quantities, and cleaning) whereas others are avoidable (e.g., product loss due to rejected lots or deviations that result in production downtime). Maintaining efficient and robust chromatography process performance is therefore critical for minimizing operating costs. To do so, we introduce a simple and one-point multiparameter technique (SOP-MPT) for monitoring chromatographic process…
Improving Bioreactor Performance Measuring Dissolved Oxygen to Determine kLa
In recent years the biopharmaceutical industry has significantly increased the demands it makes on bioreactor systems. Efficient and reproducible production of active pharmaceuticals of high quality and in large quantities is of highest priority. However, bioprocessing is a complex topic. Numerous factors affect growth of cells in culture but are difficult to determine and interpret reliably. One of the most relevant performance parameters is the volumetric mass transfer coefficient (kLa). It describes the efficiency of gas transfer (e.g., oxygen) from…
Single-Use Sensors and Control and Data Acquisition Tools to Streamline Bioprocess Development
Process development and biomanufacturing in the biopharmaceutical industry have evolved extensively over the past 10 years. More tools are available to study process variables to enable more efficient and productive processes, speed development, and reduce costs. High powered microcontrollers are embedded in laboratory devices to carry out complex tasks. Recently, users have started working with microcontrollers such as Raspberry Pi for personal projects. As personal computer power has accelerated multiplefold,leading to high processing power and compact, high-capacity memory readily available…
Big Biotech Data: Implementing Large-Scale Data Processing and Analysis for Bioprocessing
Managing large amounts of data presents biopharmaceutical companies of all sizes with the need to adopt more efficient ways to handle the ongoing influx of information. At KNect365’s September 2017 Cell and Gene Therapy conference in Boston, Lisa Graham (founder and chief executive officer of Alkemy Innovation, Inc. in Bend, OR) spoke about the need for data management, data analysis, and process monitoring systems to evolve. Although she was speaking at a cell therapy event, her points are applicable to…
In-Line Turbidity Sensors for Monitoring Process Streams in Continuous Countercurrent Tangential Chromatography (CCTC)
A strong connection between turbidity and total suspended solids (TSS) has been linked in the past to measuring well defined particles in processes. Optical density probes have seen wide adoption in the biotechnology industry for monitoring cell growth within a bioreactor, whereas in-line turbidity sensors have been used to monitor filter performance. Turbidity measurements offer a rapid quantification of suspended solids but have not been used in the biotechnology industry for chromatographic resins. In this study, turbidity measured with equipment developed by PendoTECH was used with novel continuous chromatography technology developed by Chromatan…
Advanced Control Strategies at Biotech Week Boston
Attendees at this year’s Biotech Week Boston (24–28 September) had the opportunity to participate in several preconference symposia on the first day, including one on advanced control strategies for bioprocessing and biomanufacturing. Chaired by William Whitford (GE Healthcare), the session included presentations from Dan Kopec (Sartorius Stedim Data Analytics), Markus Gershater (Synthace), Jonathan Bones (National Institute for Bioprocessing), Robert Thomas (Loughborough University), Chris McCready (Sartorius Stedim Data Analytics), and Victor Konakovsky (Newcastle University). BPI has collaborated with conference organizer KNect365…
Integrated PAT Automated Feedback Control of Critical Process Parameters Using Modern In Situ Analytics
Simply put, the best way to control a critical process parameter (CPP) is to measure that specific parameter, integrate the live signal into your control system, and apply a smart feedback algorithm for an automated control loop. The challenge in doing this for bioprocesses has been due, in part, to the complex, highly dynamic, and variable nature of the process along with the lack of robust, scalable, and multiformat (single-use or multiuse) technologies that can monitor (in real time) such…
Accelerating Process Development Through Flexible Automated Workflows
Synthace began as a bioprocess optimization company in 2011, spun out of University College, London. The company worked on multifactorial approaches with 15–30 factors simultaneously instead of seven or eight. The work investigated genetic strain engineering factors alongside process parameters, defining deep interactions between the way strains were designed and the way they were treated in bioprocesses. Those complex experiments gave unique insight into the complexities of biological processes, but they were exceptionally taxing to plan and carryout manually. Automation…
Model Predictive Control for Bioprocess Forecasting and Optimization
Automation hierarchy in bioprocess manufacturing consists of a regulatory layer, process analytics technology (PAT), and (potentially) a top-level model-predictive or supervisory layer. The regulatory layer is responsible for keeping typical process measurements such as temperature, pressure, flows, and pH on target. In some cases, spectral instrumentation in combination with multivariate analysis (MVA) can be configured to measure parameters such as glucose concentration. A cascade control structure can be set up when the nutrient flow setpoint is adjusted to maintain the…